In-Vehicle Monitoring and Analysis System for Driver's Enervation

Human error is still one of the most frequent causes of catastrophes and ecological disasters. This paper presents a new approach towards automobile safety and security. In the field of an automotive research, a method to monitor and to detect a fatigue/drowsy or drunken driver has been studied for many years. Previous research uses sensors or voice or image processing to detect driver’s expression. This system approaches for real-time detection of physiological data and fatigue state and thereby, the Introduction of “Automated System for Monitoring and Detection of Driver's Fatigue” comes into the picture to provide supervision for individuals during the act of driving. This system consists of sensors installed in the steering wheel and the input to the system is a continuous stream of signals from the sensors. The system monitors the driver’s eyes to detect micro -sleeps (short periods of sleep lasting 3 to 4 seconds) by using a proposed camera of two IR illuminators and provides technical means for monitoring and recording the driver’s basic physiological parameters using various sensors. The system can analyze the eyes lid movement, pupil detection, percentage closure of eyes (PERCLOS) variation in pulse rate, temperature, pressure and galvanic skin response from the driver compute it as well as compare signal. Accordingly, we can obtain the driver’s fatigue level and physiological state based on the response signals from various sensors in order to alert the driver Keywords-?Fatigue, physiological parameters, sensors, micro sleep, driver monitoring system architecture.